Results 221 to 230 of about 194,639 (254)

Identification of the isomers using principal component analysis (PCA) method

AIP Conference Proceedings, 2016
In this work, we have carried out a detailed statistical analysis for experimental data of mass spectra from xylene isomers. Principle Component Analysis (PCA) was used to identify the isomers which cannot be distinguished using conventional statistical methods for interpretation of their mass spectra.
Kepceoglu, Abdullah, Gundogdu, Yasemin, Ledingham, Kenneth William David, Kilic, Hamdi Sukur   +3 more
openaire   +1 more source

Principal Component Analysis (PCA)

2019
Principal component analysis (PCA) is an essential algorithm in machine learning. It is a mathematical method for evaluating the principal components of a dataset. The principal components are a set of vectors in high-dimensional space that capture the variance (i.e., spread) or variability of the feature space.
openaire   +1 more source

Image authenticity implementing Principal Component Analysis (PCA)

2013 10th International Conference and Expo on Emerging Technologies for a Smarter World (CEWIT), 2013
The paper addresses the application of finding key features within an image utilizing the process termed the Principal Components Analysis (PCA). Understanding this technique is critical for researchers within biometric fields and the larger cyber security field. Research, found in ASEE 2011 Conference Proceedings, titled “Edge Detectors in Engineering
Suzanna Schmeelk, John Schmeelk
openaire   +1 more source

Applications of principal component analysis (PCA) on AIRS data

Multispectral and Hyperspectral Remote Sensing Instruments and Applications II, 2005
Observations from the high spectral resolution Atmospheric InfraRed Sounder (AIRS) on the NASA EOS AQUA platform are providing improved information on the temporal and spatial distribution of key atmospheric parameters, such as temperature, moisture and clouds.
Mitchell D. Goldberg, Lihang Zhou, Walter W. Wolf, Chris Barnet, Murty G. Divakarla   +4 more
openaire   +1 more source

Characterization of PCBs by principal component analysis (PCA of PCB)

Marine Pollution Bulletin, 1989
Abstract Tabulated results of PCB measurements in terms of individual chlorobiphenyls are converted into planar graphs for visual examination. Relationships among the chlorobiphenyls are also detected in the process.
openaire   +1 more source

Face recognition based on principal component analysis (PCA)

2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM), 2022
Caihua Qiu, Feng Ding
openaire   +1 more source

Principal Component Analysis (PCA)

  +5 more sources

Principal Component Analysis (PCA).

La Tunisie medicale, 2022
Kamel, Ben Salem, Ahmed, Ben Abdelaziz
openaire   +1 more source

Principal Component Analysis (PCA)

2013
Daniel V. Guebel, Néstor V. Torres
openaire   +1 more source

Chemometrics for Data Interpretation: Application of Principal Components Analysis (PCA) to Multivariate Spectroscopic Measurements

IEEE Instrumentation and Measurement Magazine, 2021
Leonardo Iannucci
exaly